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CERN School of Computing 2014

24 August 2014 to 6 September 2014
University of Minho and LIP
Europe/Lisbon timezone

Session

Presentations by students

5 Sept 2014, 09:45
University of Minho and LIP

University of Minho and LIP

Braga, Portugal

Presentation materials

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  1. 66. Calculability and comlexity
    Stefano Martina (Universita e INFN (IT))
    05/09/2014, 09:45
    Brief introduction of the analisys of calculability and complexity, and introduction of theoretical computer science. Turing machine, complexity hierarchy, etc...
  2. 67. Challenges in the CERN Accelerator Complex
    Helga Timko (CERN)
    05/09/2014, 09:59
    Beam instabilities and loss of Landau damping are major limiting factors for the HL-LHC era. A short introduction to how the beam is produced and what the major challenges are.
  3. 68. Clustering
    Vincent Alexander Croft (Radboud University Nijmegen (NL))
    05/09/2014, 10:13
    In the era before 'Big data' LHC physicists used clustering algorithms to join 3 dimensional objects together inside their detectors. Now similar algorithms, working in N dimensions, are revolutionising the way that people choose which TV to watch, how the business world makes transactions and even how geeks find love. Clustering can be used to create structures that isolate nuances in the...
  4. 69. Modern HEP Data Analysis - How to handle the growing complexity
    Raphael Marius Friese (KIT - Karlsruhe Institute of Technology (DE))
    05/09/2014, 10:27
    In the era before 'Big data' LHC physicists used clustering algorithms to join 3 dimensional objects together inside their detectors. Now similar algorithms, working in N dimensions, are revolutionising the way that people choose which TV to watch, how the business world makes transactions and even how geeks find love. Clustering can be used to create structures that isolate nuances in the...
  5. 70. Non-parametric density estimation
    Lucio Anderlini (Laboratoire d'Annecy de Physique de Particules)
    05/09/2014, 10:41
    Fitting is often used to model data distributions of different categories in order to identify, or unfold, these components in regions of the parameter space where they are mixed. The traditional use of high-order polynomial functions is now being replaced by non-parametric techniques as the Kernel Density Estimation (KDE) and Density Estimation Trees (DETs). Among the advantages of these...
  6. 71. Parallelism for free with Haskell
    Janos Daniel Pek (CERN)
    05/09/2014, 10:54
    Haskell is a standardised, general-purpose purely functional programming language with non-strict semantics and strong static typing. In this talk some of these properties will be demonstrated by working through a very simple example. Having these properties, it is possible to build safe and highly parallel applications running on multi-core architectures or GPUs without significant effort...
  7. 72. Performance of RAID arrays
    Michael Sokolov (SRV24)
    05/09/2014, 11:30
    1) interfaces 2) low productivity RAID 5 3) SSD 4) Inefficiency of the classic RAID with SSD
  8. 73. Profiling code in Python
    Pawel Szostek (CERN)
    05/09/2014, 11:43
    Python code is much easier to write than C, yet much less efficient. It's often assumed that Python is not performance-oriented and therefore making effort to optimize it doesn't pay off. However, if there arises a need to profile the code and find bottlenecks we are not completely lost. In this talk I will tell why perf(_deluxe.py) is not suitable for this purpose and which tools can we take instead
  9. 74. Puppet is so awesome it sucks
    Hristo Mohamed (University of Sofia (BG))
    05/09/2014, 11:56
    Puppet is IT automation software that defines and enforces the state of your infrastructure throughout your software development cycle. From provisioning and configuration to orchestration and reporting, from initial code development through production release and updates, Puppet frees sysadmins from writing one-off, fragile scripts and other manual tasks. At the same time, Puppet ensures...
  10. 75. Software Defined Networking - programming your network
    Stefan Nicolae Stancu (CERN)
    05/09/2014, 12:07
    Software Defined Networking is a new model for managing and controlling networks that emerged from the need to make the network more agile in virtualized datacentre environments. Given the short time of the presentation I will present the concept of SDN (and OpenFlow, the main underlying protocol), by analogy to traditional networking, highlighting the main advantages (centralized control,...
  11. 76. Toward construction of neutron diffractometer for protein crystal
    Tomoyori Katsuaki (KEK)
    05/09/2014, 12:20
    We performed a time-of-flight (TOF) single crystal neutron diffraction experiment with a diffractometer (the IBARAKI Biological Crystal Diffractometer (iBIX)) installed at a coupled moderator (CM) pulsed neutron source in J-PARC using single crystal silicon, and we determined several candidates for fundamental fitting functions to faithfully reproduce the TOF Bragg reflection profile...
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